get_agent_loan_quote

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and it does disclose key behavior: it evaluates qualification, returns an EIP-712 CreditCertificate, and is intended for on-chain submission on Polygon rather than executing the loan itself. It does not disclose failure or eligibility behavior or side effects, but the core behavioral profile is clear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four dense, purposeful sentences with the core function front-loaded and no filler. The exclusion statements are compact and each sentence earns its place by clarifying when not to call the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the purpose, output type, target contract and network, and usage boundaries, which is sufficient for selecting and invoking the tool correctly. It does not explain return-value details or failure modes, but the absence of an output schema is partially mitigated by stating what the certificate is for.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Input schema coverage is 100%, so the parameters already have inline descriptions and defaults. The description adds broader context about loan use cases but no parameter-specific syntax or constraints beyond the schema, so a baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a precise action: evaluates uncollateralized credit loan qualification for an autonomous AI agent and returns an EIP-712 CreditCertificate for on-chain submission to AgentLendingPool.sol on Polygon. It names the resource, target contract, and network, and distinguishes itself from siblings (quote_agent_insurance, verify_agent_output). This leaves no ambiguity about the tool's role.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly scopes when to use: only when an autonomous AI agent needs uncollateralized USDC capital for operational runway, staking deposits, or task execution. It also states two negative conditions with named alternatives, so an agent knows not to use it for insurance or prompt-injection scanning.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.